---
_id: '48302'
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Habernal I, Wachsmuth H, Gurevych I, Stein B. Before Name-Calling: Dynamics
and Triggers of Ad Hominem Fallacies in Web Argumentation. In: Proceedings
of the 2018 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies, Volume 1
(Long Papers). Association for Computational Linguistics; 2018. doi:10.18653/v1/n18-1036'
apa: 'Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). Before
Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web
Argumentation. Proceedings of the 2018 Conference of the North American Chapter
of the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers). https://doi.org/10.18653/v1/n18-1036'
bibtex: '@inproceedings{Habernal_Wachsmuth_Gurevych_Stein_2018, title={Before Name-Calling:
Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation},
DOI={10.18653/v1/n18-1036},
booktitle={Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers)}, publisher={Association for Computational
Linguistics}, author={Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna
and Stein, Benno}, year={2018} }'
chicago: 'Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “Before
Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web
Argumentation.” In Proceedings of the 2018 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers). Association for Computational
Linguistics, 2018. https://doi.org/10.18653/v1/n18-1036.'
ieee: 'I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling:
Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation,”
2018, doi: 10.18653/v1/n18-1036.'
mla: 'Habernal, Ivan, et al. “Before Name-Calling: Dynamics and Triggers of Ad Hominem
Fallacies in Web Argumentation.” Proceedings of the 2018 Conference
of the North American Chapter of the Association for Computational Linguistics:
Human Language Technologies, Volume 1 (Long Papers), Association
for Computational Linguistics, 2018, doi:10.18653/v1/n18-1036.'
short: 'I. Habernal, H. Wachsmuth, I. Gurevych, B. Stein, in: Proceedings of the
2018 Conference of the North American Chapter of the Association for
Computational Linguistics: Human Language Technologies, Volume 1 (Long
Papers), Association for Computational Linguistics, 2018.'
date_created: 2023-10-19T08:29:28Z
date_updated: 2023-10-19T12:09:55Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/n18-1036
language:
- iso: eng
publication: 'Proceedings of the 2018 Conference of the North American Chapter of the
Association for Computational Linguistics: Human Language Technologies,
Volume 1 (Long Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in
Web Argumentation'
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '48304'
author:
- first_name: Johannes
full_name: Daxenberger, Johannes
last_name: Daxenberger
- first_name: Steffen
full_name: Eger, Steffen
last_name: Eger
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Christian
full_name: Stab, Christian
last_name: Stab
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Daxenberger J, Eger S, Habernal I, Stab C, Gurevych I. What is the Essence
of a Claim? Cross-Domain Claim Identification. In: Proceedings of the 2017
Conference on Empirical Methods in Natural Language Processing. Association
for Computational Linguistics; 2018. doi:10.18653/v1/d17-1218'
apa: Daxenberger, J., Eger, S., Habernal, I., Stab, C., & Gurevych, I. (2018).
What is the Essence of a Claim? Cross-Domain Claim Identification. Proceedings
of the 2017 Conference on Empirical Methods in Natural Language Processing.
https://doi.org/10.18653/v1/d17-1218
bibtex: '@inproceedings{Daxenberger_Eger_Habernal_Stab_Gurevych_2018, title={What
is the Essence of a Claim? Cross-Domain Claim Identification}, DOI={10.18653/v1/d17-1218},
booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing}, publisher={Association for Computational Linguistics},
author={Daxenberger, Johannes and Eger, Steffen and Habernal, Ivan and Stab, Christian
and Gurevych, Iryna}, year={2018} }'
chicago: Daxenberger, Johannes, Steffen Eger, Ivan Habernal, Christian Stab, and
Iryna Gurevych. “What Is the Essence of a Claim? Cross-Domain Claim Identification.”
In Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing. Association for Computational Linguistics, 2018.
https://doi.org/10.18653/v1/d17-1218.
ieee: 'J. Daxenberger, S. Eger, I. Habernal, C. Stab, and I. Gurevych, “What is
the Essence of a Claim? Cross-Domain Claim Identification,” 2018, doi: 10.18653/v1/d17-1218.'
mla: Daxenberger, Johannes, et al. “What Is the Essence of a Claim? Cross-Domain
Claim Identification.” Proceedings of the 2017 Conference on Empirical Methods
in Natural Language Processing, Association for Computational Linguistics,
2018, doi:10.18653/v1/d17-1218.
short: 'J. Daxenberger, S. Eger, I. Habernal, C. Stab, I. Gurevych, in: Proceedings
of the 2017 Conference on Empirical Methods in Natural Language Processing,
Association for Computational Linguistics, 2018.'
date_created: 2023-10-19T08:29:58Z
date_updated: 2023-10-19T12:08:19Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/d17-1218
language:
- iso: eng
publication: Proceedings of the 2017 Conference on Empirical Methods in Natural Language
Processing
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: What is the Essence of a Claim? Cross-Domain Claim Identification
type: conference
user_id: '15504'
year: '2018'
...
---
_id: '48305'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Nona
full_name: Naderi, Nona
last_name: Naderi
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Yufang
full_name: Hou, Yufang
last_name: Hou
- first_name: Graeme
full_name: Hirst, Graeme
last_name: Hirst
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Naderi N, Habernal I, et al. Argumentation Quality Assessment:
Theory vs. Practice. In: Proceedings of the 55th Annual Meeting of the Association
for Computational Linguistics (Volume 2: Short Papers). Association
for Computational Linguistics; 2017. doi:10.18653/v1/p17-2039'
apa: 'Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I.,
& Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice.
Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/p17-2039'
bibtex: '@inproceedings{Wachsmuth_Naderi_Habernal_Hou_Hirst_Gurevych_Stein_2017,
title={Argumentation Quality Assessment: Theory vs. Practice}, DOI={10.18653/v1/p17-2039},
booktitle={Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers)}, publisher={Association
for Computational Linguistics}, author={Wachsmuth, Henning and Naderi, Nona and
Habernal, Ivan and Hou, Yufang and Hirst, Graeme and Gurevych, Iryna and Stein,
Benno}, year={2017} }'
chicago: 'Wachsmuth, Henning, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst,
Iryna Gurevych, and Benno Stein. “Argumentation Quality Assessment: Theory vs.
Practice.” In Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers). Association for
Computational Linguistics, 2017. https://doi.org/10.18653/v1/p17-2039.'
ieee: 'H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs.
Practice,” 2017, doi: 10.18653/v1/p17-2039.'
mla: 'Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.”
Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers), Association for Computational Linguistics,
2017, doi:10.18653/v1/p17-2039.'
short: 'H. Wachsmuth, N. Naderi, I. Habernal, Y. Hou, G. Hirst, I. Gurevych, B.
Stein, in: Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers), Association for Computational
Linguistics, 2017.'
date_created: 2023-10-19T08:30:11Z
date_updated: 2023-10-19T12:08:34Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/p17-2039
language:
- iso: eng
publication: 'Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'Argumentation Quality Assessment: Theory vs. Practice'
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '48306'
abstract:
- lang: eng
text: The goal of argumentation mining, an evolving research field in computational
linguistics, is to design methods capable of analyzing people's argumentation.
In this article, we go beyond the state of the art in several ways. (i) We deal
with actual Web data and take up the challenges given by the variety of registers,
multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We
bridge the gap between normative argumentation theories and argumentation phenomena
encountered in actual data by adapting an argumentation model tested in an extensive
annotation study. (iii) We create a new gold standard corpus (90k tokens in 340
documents) and experiment with several machine learning methods to identify argument
components. We offer the data, source codes, and annotation guidelines to the
community under free licenses. Our findings show that argumentation mining in
user-generated Web discourse is a feasible but challenging task.
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse.
Computational Linguistics. 2016;43(1):125-179. doi:10.1162/coli_a_00276
apa: Habernal, I., & Gurevych, I. (2016). Argumentation Mining in User-Generated
Web Discourse. Computational Linguistics, 43(1), 125–179. https://doi.org/10.1162/coli_a_00276
bibtex: '@article{Habernal_Gurevych_2016, title={Argumentation Mining in User-Generated
Web Discourse}, volume={43}, DOI={10.1162/coli_a_00276},
number={1}, journal={Computational Linguistics}, publisher={MIT Press}, author={Habernal,
Ivan and Gurevych, Iryna}, year={2016}, pages={125–179} }'
chicago: 'Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated
Web Discourse.” Computational Linguistics 43, no. 1 (2016): 125–79. https://doi.org/10.1162/coli_a_00276.'
ieee: 'I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web
Discourse,” Computational Linguistics, vol. 43, no. 1, pp. 125–179, 2016,
doi: 10.1162/coli_a_00276.'
mla: Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated
Web Discourse.” Computational Linguistics, vol. 43, no. 1, MIT Press, 2016,
pp. 125–79, doi:10.1162/coli_a_00276.
short: I. Habernal, I. Gurevych, Computational Linguistics 43 (2016) 125–179.
date_created: 2023-10-19T08:30:44Z
date_updated: 2023-10-19T12:08:00Z
department:
- _id: '34'
- _id: '820'
doi: 10.1162/coli_a_00276
intvolume: ' 43'
issue: '1'
keyword:
- Artificial Intelligence
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics
language:
- iso: eng
page: 125-179
publication: Computational Linguistics
publication_identifier:
issn:
- 0891-2017
- 1530-9312
publication_status: published
publisher: MIT Press
status: public
title: Argumentation Mining in User-Generated Web Discourse
type: journal_article
user_id: '15504'
volume: 43
year: '2016'
...
---
_id: '48308'
alternative_title:
- Focused Retrieval Over the Web
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Maria
full_name: Sukhareva, Maria
last_name: Sukhareva
- first_name: Fiana
full_name: Raiber, Fiana
last_name: Raiber
- first_name: Anna
full_name: Shtok, Anna
last_name: Shtok
- first_name: Oren
full_name: Kurland, Oren
last_name: Kurland
- first_name: Hadar
full_name: Ronen, Hadar
last_name: Ronen
- first_name: Judit
full_name: Bar-Ilan, Judit
last_name: Bar-Ilan
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Habernal I, Sukhareva M, Raiber F, et al. New Collection Announcement. In:
Proceedings of the 39th International ACM SIGIR Conference on Research and
Development in Information Retrieval. ACM; 2016. doi:10.1145/2911451.2914682'
apa: Habernal, I., Sukhareva, M., Raiber, F., Shtok, A., Kurland, O., Ronen, H.,
Bar-Ilan, J., & Gurevych, I. (2016). New Collection Announcement. Proceedings
of the 39th International ACM SIGIR Conference on Research and Development in
Information Retrieval. https://doi.org/10.1145/2911451.2914682
bibtex: '@inproceedings{Habernal_Sukhareva_Raiber_Shtok_Kurland_Ronen_Bar-Ilan_Gurevych_2016,
title={New Collection Announcement}, DOI={10.1145/2911451.2914682},
booktitle={Proceedings of the 39th International ACM SIGIR conference on Research
and Development in Information Retrieval}, publisher={ACM}, author={Habernal,
Ivan and Sukhareva, Maria and Raiber, Fiana and Shtok, Anna and Kurland, Oren
and Ronen, Hadar and Bar-Ilan, Judit and Gurevych, Iryna}, year={2016} }'
chicago: Habernal, Ivan, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland,
Hadar Ronen, Judit Bar-Ilan, and Iryna Gurevych. “New Collection Announcement.”
In Proceedings of the 39th International ACM SIGIR Conference on Research and
Development in Information Retrieval. ACM, 2016. https://doi.org/10.1145/2911451.2914682.
ieee: 'I. Habernal et al., “New Collection Announcement,” 2016, doi: 10.1145/2911451.2914682.'
mla: Habernal, Ivan, et al. “New Collection Announcement.” Proceedings of the
39th International ACM SIGIR Conference on Research and Development in Information
Retrieval, ACM, 2016, doi:10.1145/2911451.2914682.
short: 'I. Habernal, M. Sukhareva, F. Raiber, A. Shtok, O. Kurland, H. Ronen, J.
Bar-Ilan, I. Gurevych, in: Proceedings of the 39th International ACM SIGIR Conference
on Research and Development in Information Retrieval, ACM, 2016.'
date_created: 2023-10-19T08:31:35Z
date_updated: 2023-10-19T12:07:25Z
department:
- _id: '34'
- _id: '820'
doi: 10.1145/2911451.2914682
language:
- iso: eng
publication: Proceedings of the 39th International ACM SIGIR conference on Research
and Development in Information Retrieval
publication_status: published
publisher: ACM
status: public
title: New Collection Announcement
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '48307'
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Habernal I, Gurevych I. Which argument is more convincing? Analyzing and predicting
convincingness of Web arguments using bidirectional LSTM. In: Proceedings of
the 54th Annual Meeting of the Association for Computational Linguistics (Volume
1: Long Papers). Association for Computational Linguistics; 2016. doi:10.18653/v1/p16-1150'
apa: 'Habernal, I., & Gurevych, I. (2016). Which argument is more convincing?
Analyzing and predicting convincingness of Web arguments using bidirectional LSTM.
Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/p16-1150'
bibtex: '@inproceedings{Habernal_Gurevych_2016, title={Which argument is more convincing?
Analyzing and predicting convincingness of Web arguments using bidirectional LSTM},
DOI={10.18653/v1/p16-1150},
booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers)}, publisher={Association for Computational
Linguistics}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016} }'
chicago: 'Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing?
Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.”
In Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers). Association for Computational Linguistics,
2016. https://doi.org/10.18653/v1/p16-1150.'
ieee: 'I. Habernal and I. Gurevych, “Which argument is more convincing? Analyzing
and predicting convincingness of Web arguments using bidirectional LSTM,” 2016,
doi: 10.18653/v1/p16-1150.'
mla: 'Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing
and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” Proceedings
of the 54th Annual Meeting of the Association for Computational Linguistics (Volume
1: Long Papers), Association for Computational Linguistics, 2016, doi:10.18653/v1/p16-1150.'
short: 'I. Habernal, I. Gurevych, in: Proceedings of the 54th Annual Meeting of
the Association for Computational Linguistics (Volume 1: Long Papers), Association
for Computational Linguistics, 2016.'
date_created: 2023-10-19T08:31:11Z
date_updated: 2023-10-19T12:07:44Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/p16-1150
language:
- iso: eng
publication: 'Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: Which argument is more convincing? Analyzing and predicting convincingness
of Web arguments using bidirectional LSTM
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '48309'
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Habernal I, Gurevych I. What makes a convincing argument? Empirical analysis
and detecting attributes of convincingness in Web argumentation. In:
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing. Association for Computational Linguistics; 2016. doi:10.18653/v1/d16-1129'
apa: Habernal, I., & Gurevych, I. (2016). What makes a convincing argument?
Empirical analysis and detecting attributes of convincingness in Web
argumentation. Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing. https://doi.org/10.18653/v1/d16-1129
bibtex: '@inproceedings{Habernal_Gurevych_2016, title={What makes a convincing argument?
Empirical analysis and detecting attributes of convincingness in Web
argumentation}, DOI={10.18653/v1/d16-1129},
booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing}, publisher={Association for Computational Linguistics},
author={Habernal, Ivan and Gurevych, Iryna}, year={2016} }'
chicago: Habernal, Ivan, and Iryna Gurevych. “What Makes a Convincing Argument?
Empirical Analysis and Detecting Attributes of Convincingness in Web
Argumentation.” In Proceedings of the 2016 Conference on Empirical Methods
in Natural Language Processing. Association for Computational Linguistics,
2016. https://doi.org/10.18653/v1/d16-1129.
ieee: 'I. Habernal and I. Gurevych, “What makes a convincing argument? Empirical
analysis and detecting attributes of convincingness in Web argumentation,”
2016, doi: 10.18653/v1/d16-1129.'
mla: Habernal, Ivan, and Iryna Gurevych. “What Makes a Convincing Argument? Empirical
Analysis and Detecting Attributes of Convincingness in Web Argumentation.”
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, Association for Computational Linguistics, 2016, doi:10.18653/v1/d16-1129.
short: 'I. Habernal, I. Gurevych, in: Proceedings of the 2016 Conference on Empirical
Methods in Natural Language Processing, Association for Computational
Linguistics, 2016.'
date_created: 2023-10-19T08:31:58Z
date_updated: 2023-10-19T12:07:05Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/d16-1129
language:
- iso: eng
publication: Proceedings of the 2016 Conference on Empirical Methods in Natural Language
Processing
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: What makes a convincing argument? Empirical analysis and detecting attributes
of convincingness in Web argumentation
type: conference
user_id: '15504'
year: '2016'
...